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Principal AI Engineer

2 months ago

kochi, India Invokhr Full time

Your Responsibilities

• Provide technical leadership and strategic direction expertise in ML/AI,

driving the design, development, and implementation of ML/AI solutions

for clients

• Lead the identification of new ML/AI opportunities, either through selling

solutions or securing funding, by leveraging your technical expertise and

engaging senior decision-makers

• Shape data solutions and properly scope / price engagements, establishing

optimal operating models and project team organisation, and leading the

transition from the sales process to the delivery phase

• Lead the evaluation and selection of ML/AI tools, frameworks, and

technologies, ensuring their alignment with business objectives and

technical requirements

• Engage client stakeholders at the executive / C-level, helping them drive

enterprise-wide agenda to maximize growth

• Stay updated with the latest advancements in ML/AI and emerging

technologies, proactively recommending new approaches and

methodologies to address challenges in the space/markets and

geographies in which the clients operate

• Support sales / pre-sales activities by assessing Data opportunities,

responding to RFP’s, creating proposals and presentations

• Engage with clients to understand their business challenges and

requirements, and effectively communicate how ML/AI solutions can

address them

• Collaborate with cross-functional teams to define project scope, develop

data models, and apply appropriate ML algorithms to deliver high-quality

solutions

• Provide guidance and mentorship to junior team members, fostering their

professional growth and development in ML/AI


Your expertise

• A master's degree or Ph.D in Computer Science, Artificial Intelligence,

Machine Learning or a related field

• Proven experience in leading AI projects from conception to deployment

in a consultancy or start-up environment

• Extensive knowledge of machine learning algorithms, data modelling and

simulation techniques

• Proficiency in of the Cloud (Azure, GCP, AWS)

• Strong leadership skills with a proven track record of mentoring and

developing talent

• Excellent communications skills, capable of conveying complex AI concepts

to non-technical stakeholders

• A strategic thinker with a passion for problem-solving and innovation

• SME in statistics, analytics, big data, data science, machine learning, deep

learning, cloud, mobile, and full stack technologies.

• Hands-on experience analysing large amounts of data to derive actionable

insights.

• Working knowledge on traditional statistical model building (Example:

Regression, Classification, Time series, Segmentation etc.), machine

learning( Random forest, Boosting algos, SVM, KNN etc), deep

learning(CNN, RNN, LSTM, Transfer learning) and NLP( Stemming,

Lemitization, Named entity extraction, Latent semantic analysis etc).

• Experience in tensorflow, Pytorch, Pytorch Lightning, etc, hugging Face,

etc

• Ability to Pretrained transformers models, LLM, etc using

Pytorch/Tensorlfow/Hugging Face using CPU/GPU.