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Data Scientist / Machine Learning Engineer @ Tavant Technologies

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 Data Scientist / Machine Learning Engineer

Job Description

We are seeking a Data Scientist / ML Engineer with comprehensive knowledge in AI/ML , strong coding prowess, and an intrinsic passion for R&D . You will be responsible for designing, developing, and deploying machine learning solutions, while also driving innovation through research and experimentation. If you thrive on tackling complex challenges, continuously learning new techniques, and pushing boundaries in AI, this role is for you.
  1. End-to-End Model Development
    • Design and implement ML pipelines from data collection and preprocessing to training, validation, and deployment.
    • Select the right models (classical ML or deep learning) and optimize them for performance and scalability.
  2. Advanced Coding & Software Engineering
    • Write clean, efficient, and maintainable code in Python (or relevant languages like R, Scala, C++).
    • Utilize ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and adhere to software engineering best practices (version control, CI/CD).
  3. Research & Innovation
    • Stay updated with the latest AI/ML research, frameworks, and tools; propose and test new ideas or methodologies.
    • Conduct experiments, benchmark against industry standards, and publish or present findings as needed.
  4. Data Exploration & Feature Engineering
    • Analyze large datasets for insights; engineer relevant features and conduct appropriate transformations.
    • Collaborate with data engineering teams to ensure data pipelines are robust and scalable.
  5. Collaboration & Mentorship
    • Work cross-functionally with product managers, software engineers, and domain experts to integrate ML solutions into products.
    • Share knowledge, review code, and assist junior team members in their growth and development.
  6. Deployment & Monitoring
    • Implement MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and cloud services (AWS, Azure, GCP).
    • Monitor model performance in production; iterate and refine models to adapt to evolving data and requirements.
  7. Problem-Solving & Performance Optimization
    • Tackle complex data challenges, optimize algorithms for latency and throughput, and ensure reliable system performance at scale.
    • Identify and address data quality issues, model drift, and other factors affecting solution success.
Required Qualifications
  • Education & Experience
    • Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field. Advanced degrees are a plus.
    • Proven track record (2+ years) in developing and deploying AI/ML solutions. (Adjust experience level as needed.)
  • Technical Expertise
    • Comprehensive AI/ML Knowledge : Classical ML (regression, classification, clustering, etc.) and deep learning (CNNs, RNNs, Transformers).
    • Strong Coding Skills : Fluency in Python; familiarity with other programming languages is a bonus.
    • R&D Mindset : Hands-on experience with research methodologies, ability to quickly prototype and evaluate new ideas.
    • Frameworks & Tools : Proficiency in ML/DL libraries (TensorFlow, PyTorch, scikit-learn), data platforms (Spark, Hadoop) is beneficial.
    • Cloud & Deployment : Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
  • Soft Skills
    • Excellent problem-solving ability and a hunger for tackling complex, ambiguous challenges.
    • Strong communication skills, capable of articulating technical concepts to a diverse audience.
    • Self-motivated with a drive to continuously learn and adopt new AI technologies.
Preferred/Bonus Skills
  • Experience with NLP , computer vision , or recommendation systems .
  • Exposure to MLOps tools and platforms for end-to-end model lifecycle management.
  • Contributions to open-source AI/ML projects or research publications.
  • Background in mathematics or statistics for rigorous model validation.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Tavant Technologies
Location(s): Bengaluru

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Keyskills:   Computer science Computer vision C++ Prototype Coding GCP Machine learning Data collection Monitoring Python

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Tavant Technologies

Tavant Technologies Tavant is a digital products and solutions company that provides impactful results to its customers across a wide range of industries such as Consumer Lending, Aftermarket, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Our solutions, powere...