Data Scientist

3across; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading data-driven organization is seeking a Data Scientist with a focus on AI/ML development and research. The ideal candidate will have over 5 years of experience in data science and proficiency in deep learning and cloud technologies. Responsibilities include designing advanced models, implementing data pipelines, and mentoring junior scientists. This role offers the opportunity to work on cutting-edge projects in a remote setup.

Qualifications

• 5+ years of hands-on experience in data science and machine learning.
• 3+ years of experience working with deep learning frameworks.
• 2+ years of experience with cloud platforms and full-stack development.

Responsibilities

• Design, develop, and deploy advanced machine learning models.
• Architect scalable, cloud-native ML/AI solutions.
• Implement data pipelines for real-time analytics.
• Mentor junior data scientists and collaborate across teams.

Skills

Machine Learning

Deep Learning

Cloud Platforms

Programming

Data Engineering

Leadership

Education

Masters or PhD in a relevant field

Tools

AWS

TensorFlow

PyTorch

Docker

Kubernetes

Spark

Job description

Job Title: Data Scientist
Experience: 5+ Years
Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram

Industry: Must be from BPO/KPO or Healthcare Org. Or Shared Services

Key Responsibilities:

• AI/ML Development & Research
  • Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
  • Build agent-based AI systems with autonomous decision-making capabilities.
  • Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
  • Perform model evaluation, validation, and continuous optimization to ensure high performance.
• Cloud Infrastructure & Full-Stack Development:
  • Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
  • Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
  • Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
  • Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
  • Design and optimize cloud infrastructure to support high-performance computing workloads.
• Data Engineering & Database Management
  • Design and implement data pipelines to enable large-scale data processing and real-time analytics.
  • Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
  • Optimize database performance to support machine learning workloads and real-time applications.
  • Implement robust data governance frameworks and ensure data quality assurance practices.
  • Manage and process streaming data to enable real-time decision-making.
• Leadership & Collaboration
  • Mentor junior data scientists and assist in technical decision-making to drive innovation.
  • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
  • Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
  • Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.
• Education & Experience
  • Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
  • 3+ years of experience working with deep learning frameworks and neural networks.
  • 2+ years of experience with cloud platforms and full-stack development.
• Technical Skills - Core AI/ML
  • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
• Technical Skills - Development & Infrastructure
  • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
  • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
  • Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.
  • MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
  • Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.

If interested, please share your resume to [e-mail]