AI/ML:Engineers & Architect

3 weeks ago

Chennai, India Gravity Infosolutions, Inc. Full time

Role: AI/ML : Engineers & ArchitectDuration: 3 Months+ (Extendable) Location : Chennai / Hyderabd Experience: 5+ yearsJob Description: We are seeking an experiencedAI/ML Engineerto design, develop, and deploy scalable machine learning and AI solutions across our digital ecosystem. The ideal candidate will collaborate with data scientists, engineers, and domain experts to transform large datasets into actionable insights and AI-driven applications that enhance research and operational efficiency.Key Responsibilities: Design, develop, train, and deploymachine learning (ML)anddeep learning (DL)models for life sciences and manufacturing use cases. Collaborate with cross-functional teams to identify opportunities for AI/ML-driven automation and optimization. Implementend-to-end ML pipelines– from data ingestion and feature engineering to model training, validation, and deployment. Work withbig data platforms(Databricks, Snowflake, AWS Sagemaker, Azure ML, etc.) to manage and process large-scale datasets. DevelopNLP, computer vision, or predictive analyticsmodels for applications in research, digital labs, and customer analytics. Collaborate with software engineering teams toproductionize and integrate AI modelsinto enterprise applications. Conduct performance tuning, model monitoring, and continuous retraining as needed. Stay updated with emerging trends in AI/ML technologies and tools.Required Skills and Qualifications: Bachelor’s or Master’s degree inComputer Science, Data Science, Statistics, or related field. Proficiency inPython,SQL, and ML frameworks such asTensorFlow,PyTorch,Scikit-learn,XGBoost, orLightGBM. Strong understanding ofdata structures, algorithms, andstatistics. Experience withcloud-based ML platforms– AWS SageMaker, Azure ML, or GCP Vertex AI. Hands-on experience inMLOps– model versioning, CI/CD, and monitoring using tools like MLflow, Kubeflow, or Airflow. Exposure toNLP, computer vision, ortime-series forecastingtechniques. Excellent problem-solving, communication, and collaboration skills.Preferred Qualifications: Experience inLife Sciences / Healthcare / Pharma / Biotechdomains. Familiarity withdata engineeringtools like Databricks, Apache Spark, or Snowflake. Knowledge ofGenAIandLLM fine-tuning(e.g., OpenAI, Hugging Face, LangChain). Experience deploying models as REST APIs or microservices using Flask/FastAPI. Understanding ofdata governance, model ethics, and regulatory compliancein AI applications. Work on impactful projects driving innovation in healthcare and life sciences. Collaborate with global teams across R&D, engineering, and data science. Access to cutting-edge AI/ML platforms and technology ecosystem. Inclusive, diverse, and innovation-driven culture.

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