AI Innovator

Job Title: Machine Learning ArchitectWe are seeking a highly skilled Machine Learning Architect to design and implement advanced Salesforce solutions integrated with Artificial Intelligence and Machine Learning capabilities.Design, develop, test, document, and deploy Salesforce solutions aligned with business requirements.Develop and deploy AI/ML models for real-time automation, forecasting, scoring, and decision-making.Integrate AI/ML models within Salesforce CRM to power intelligent data retrieval, opportunity insights, workflow automation, and personalized recommendations.The ideal candidate will have strong technical expertise, a deep understanding of generative AI, and the ability to collaborate across teams to deliver scalable, secure, and high-performance solutions.About This Role:This position requires a deep understanding of machine learning principles, including supervised and unsupervised learning, regression, classification, clustering, decision trees, random forests, support vector machines, k-means, hierarchical clustering, principal component analysis, neural networks, gradient boosting, bagging, boosting, stacking, cross-validation, overfitting, underfitting, bias-variance tradeoff, precision, recall, accuracy, f1 score, confusion matrix, ROC curve, AUC-ROC, precision-recall curve, AUC-PR, mean squared error, mean absolute error, root mean squared percentage error, coefficient of determination (R-squared), cross-entropy loss, binary cross-entropy loss, categorical cross-entropy loss, sparse categorical cross-entropy loss, hinge loss, mean squared logarithmic error, poisson regression loss, kullback-leibler divergence, kl divergence, mean absolute deviation, mean absolute percentage error, mean squared logarithmic error, huber loss, mae huber loss, smoothed l1 loss, categorical hinge loss, cosine similarity, euclidean distance, manhattan distance, hamming distance, jaccard similarity, pearson correlation coefficient, spearman rank correlation coefficient, mutual information, joint entropy, conditional entropy, entropy, expected utility theory, bayes' theorem, laplace's rule of succession, bayesian inference, likelihood function, posterior distribution, prior probability, posterior predictive distribution, conjugate prior, non-informative prior, uniform prior, exponential prior, normal prior, cauchy prior, t-distribution prior, dirichlet prior, beta prior, binomial prior, gaussian process, kernel, covariance function, stationarity, isotropy, periodicity, linearity, monotonicity, symmetry, invertibility, consistency, admissibility, unbiasedness, efficiency, minimaxity, Bayes optimality, oracle property, regularizability, sparsity inducing, convexity, concavity, quasi-concavity, quasi-convexity, smoothness, differentiability, Lipschitz continuity, monotone operators, L-block differentiability, directional differentiability, stochastic dominance, martingale convergence theorem, dominated convergence theorem, law of large numbers, central limit theorem, Chebyshev inequality, Markov's inequality, Chernoff bound, Cantelli's inequality, Kolmogorov three-series theorem, double array ergodic theorem, Ito calculus, stochastic integral, differential equations, dynamical systems, chaos theory, fractals, self-similarity, scale invariance, anisotropy, heterogeneity, unsteadiness, turbulence, microscale phenomena, multiscale modeling, continuum mechanics, fluid dynamics, heat transfer, mass transport, thermodynamics, statistical mechanics, kinetic theory, molecular dynamics, Brownian motion, diffusion processes, random walks, birth-death processes, branching processes, renewal processes, point processes, spatial point processes, space-time point processes, temporal point processes, Itô processes, linear stochastic processes, Gaussian processes, white noise, colored noise, finite element methods, finite difference methods, Monte Carlo methods, perturbation methods, asymptotic analysis, Green's functions, eigenfunction expansions, Fourier analysis, singular value decomposition, singular value thresholding, total variation regularization, bilateral filtering, wavelet denoising, independent component analysis, principal component analysis, independent subspace analysis, canonical correlation analysis, factor analysis, latent semantic analysis, singular spectrum analysis, factorization machine, matrix factorization, tensor factorization, parallel factor analysis, higher-order singular value decomposition, multi-linear algebra, bilinear maps, trilinear forms, 3D convolutional neural networks, feature extraction, dimensionality reduction, principal component analysis, orthogonal matching pursuit, least angle regression, approximate message passing, iterative hard thresholding, group lasso, fused lasso, structured lasso, trace norm regularization, spectral regularization, Stein shrinkage, wavelet shrinkage, adaptive shrinkage, robust shrinkage, minimizing/maximizing variance risk, polynomial descent method, bridge estimator, low-rank estimation, low-dimensional manifold representation, singular value bounds, Frobenius norm, operator norm, induced norm, banach algebra, c*-algebra, Hilbert space, dual space, quotient space, metric spaces, topological spaces, product spaces, quotient spaces, function spaces, Banach spaces, Calkin algebras, Schatten classes, local Holder continuity, Lipschitz continuity, general relativity, special relativity, classical mechanics, quantum mechanics, quantum field theory, electromagnetism, electroweak theory, Yukawa interaction, Weyl ordering, magnetic monopoles, Higgs mechanism, dark matter, inflationary cosmology, cyclic model, chaotic inflation, eternal chaotic inflation, slow-roll approximation, cosmic strings, domain walls, branes, p-branes, gravitons, Kaluza-Klein theory, Warped geometry, string compactification, M-theory, superstring theory, Calabi-Yau manifolds, instanton solutions, holonomy groups, gauge theories, effective actions, scalar-tensor theories, bimetric gravity, modified Newtonian dynamics, generalized uncertainty principle, Navier-Stokes equations, Korteweg-de Vries equation, Euler-Lagrange equations, variational integrators, Hamilton-Jacobi theory, Morse theory, Poincaré recurrence theorem, Borel-Cantelli lemma, Kadomtsev-Petviashvili equation, Benjamin-Ono equation, cubic Schrödinger equation, Toda lattice equation, two-dimensional Gross-Pitaevskii equation, quintic nonlinear Schrödinger equation, envelope soliton equations, sine-Gordon equation, sinh-Gordon equation, Dym equation, hyper-Dym equation, Benjamin-Bona-Mahony equation, Camassa-Holm equation, Novikov equation, Hopf equation, Kadomtsev-Pogutse equation, Henon-Heiles system, Fermi-Pasta-Ulam-Tsingou problem, continuous Newman problem, Freidlin-Wentzell theory, rigorously weak dissipativity, viscous damping, acoustic sources, bow shock waves, sound wave propagation, hydro-acoustic beamforming, Langmuir waves, reconnection events, magnetohydrodynamic flows, electrostatic solitary waves, magneto-optical trapping, optomechanical cavities, ultra-cold atoms, degenerate fermions, axion dark matter, non-minimal scalar-tensor theories, symmetric Einstein-aether theory, Lorentz-violating terms, time-reversal symmetry, rotationally invariant Lagrangians, Weinberg-Witten theorem, Nambu-Goto action, Poisson sigma models, Jackiw-Rebbi model, dodecahedral topology, Klein bottle topology, projective plane topology, torus topology, wheel topology, Roman surface topology, Euclideanized spacetime topology, thin-shell black hole topology, non-commutative torus topology, Bergman tau-function, u(n) Chern-Simons theory, su(2) Chern-Simons theory, vassiliev invariants, Casson handles, Casson towers, rational homotopy theory, r-matrices, Casimir operators, Cartan subalgebras, crystallographic groups, stable moduli space theory, unstable moduli space theory, real-valued polynomials, degree theory, connectivity indices, multiplicative graphs, matchings in graphs, cuts in graphs, coloring problems, graph algorithms, sorting algorithms, optimization problems, computational complexity theory, time-complexity, space-complexity, computable functions, Turing completeness, halting problem, diagonal argument, verification-based proofs, fast Fourier transforms, fast Gauss transform, forward-backward algorithm, Ford-Fulkerson algorithm, Gauss elimination algorithm, recursive closest pair algorithm, Udi Manber's framework for sequencing real-time queries, flavor symmetries, isospin breaking, kaon mixing, meson decay, phi-meson production, J-factors, MMF subtraction scheme, SOFTSUSY, numerical analyses, kalman filter, Jarzynski equality, Pontryagin maximum principle, Bellman dynamic programming, MCMC-based calculations, Laplace approximations, Metropolis algorithm, Hybrid Monte Carlo simulations, determinant ratio estimations, Nested Sampling, replica-exchange Monte Carlo, path-integral methods, Feynman diagrams, covariant phase-space formalism, BRST quantization, Grassmann variables, background-field method, MHV amplitudes, SUSY Dark Matter, Leptogenesis, CP violation, rare decays, electroweak baryogenesis, electroweak symmetry-breaking, propagator reconstruction, anomalous dimensions, scalar potential truncation, G-parity violating interactions, SU(N) Yang-Mills theories, disoriented chiral condensates, instanton-induced effects, determinant factorization, Wilson loop expansion, chiral anomaly, axial anomaly, vertex corrections, particle-number conserving extensions, explicit Ginzburg-Landau order parameters, orthonormal single-particle states, coherent state representations, Volterra-type integro-differential equations, Jacobian matrices, friction coefficients, momentum relaxations, metal-insulator transitions, conductivity tensors, Drude weights, Dulong-Petit limit, spin-density-wave order, square-root form prefactor, side-jump scattering, extrinsic Rashba effect, intrinsic Rashba effect, gapped ground-state on Si(111)-Ø3ÐB,