
Associate Lead - AI/ML Engineer Tier 1 college ( Python, AL/ML)
at Staffnixcom
Strong AI Engineer / Machine Learning Engineer profiles.
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Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.
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Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.
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Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.
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Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.
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Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.
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Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.
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Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.
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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
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Mandatory (Age) - Candidate's Age should be below 30 Years
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Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.
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Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..
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Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.
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Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies
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Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

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Key Responsibilities:
• Develop and execute digital marketing strategies to increase brand awareness and online engagement.
• Manage and optimize company social media platforms (LinkedIn, Facebook, Instagram, Twitter, etc.).
• Create, curate, and publish engaging content for digital channels.
• Perform keyword research and implement SEO strategies to improve website ranking.
• Manage email marketing campaigns and newsletters.
• Edit and produce high-quality videos for marketing campaigns and social media.
• Collaborate with internal teams to align marketing strategies with business goals.
• Stay updated with industry trends and emerging digital marketing technologies. • Handle Domestic + International exhibitions
• Co-ordinate with agency and keep website updated.
• Manage digital assets for exhibitions (banners, invites, branded stationery) • Execute email, WhatsApp, and social media campaigns and reporting.
Qualifications and Skills:
• Bachelor's degree in Marketing, Digital Marketing, Communications, or a related field.
• Proven experience (2+ years) in digital marketing or a similar role.
• Hands-on experience with social media management and advertising tools.
• Hands-on experience with Designing tools (Canva, Illustrator).
• Excellent written and verbal communication skills.
• Creative thinking and ability to generate innovative marketing ideas.
• Ability to analyze data and provide insights for continuous improvement.
• Understanding of video marketing and content creation.
• Ability to multitask and manage timelines in a dynamic, fast-paced environment
Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
We’re seeking a Back-End Developer with hands-on experience in Node.js or any other modern backend framework. You’ll be responsible for building robust, scalable APIs and server-side logic powering Zilo’s high-velocity quick commerce platform.
Key Responsibilities
Develop, maintain, and optimize back-end applications and APIs.
Work on microservices, API integrations, and data modeling.
Ensure system scalability, reliability, and performance under high traffic.
Collaborate with front-end and mobile developers for seamless API integration.
Implement best practices in code quality, security, and database design.
Troubleshoot production issues and support deployment cycles.
Technical Skills Required
Strong proficiency in Node.js, Express.js, or similar backend frameworks.
Experience in MongoDB, MySQL, or PostgreSQL.
Understanding of RESTful APIs, authentication (JWT/OAuth), and middleware.
Familiarity with AWS, Docker, or other deployment environments.
Hands-on experience with Git and CI/CD pipelines.
Knowledge of other programming languages like Python, Java, or Go is an added advantage.
Job Summary:
We are seeking a skilled Senior Data Engineer with expertise in application programming, big data technologies, and cloud services. This role involves solving complex problems, designing scalable systems, and working with advanced technologies to deliver innovative solutions.
Key Responsibilities:
- Develop and maintain scalable applications using OOP principles, data structures, and problem-solving skills.
- Build robust solutions using Java, Python, or Scala.
- Work with big data technologies like Apache Spark for large-scale data processing.
- Utilize AWS services, especially Amazon Redshift, for cloud-based solutions.
- Manage databases including SQL, NoSQL (e.g., MongoDB, Cassandra), with Snowflake as a plus.
Qualifications:
- 5+ years of experience in software development.
- Strong skills in OOPS, data structures, and problem-solving.
- Proficiency in Java, Python, or Scala.
- Experience with Spark, AWS (Redshift mandatory), and databases (SQL/NoSQL).
- Snowflake experience is good to have.
Job Title: PHP Developer laravel
Salary package: Upto 6Lpa per annum
Experience: 1.5 years - 2.5 years
Location: Bangalore
Mandatory Skills:
Candidate must have Laravel experience
Skills:
- Strong proficiency with Laravel.
- Extensive knowledge of jQuery, JavaScript, Core PHP, MySQL, Bootstrap and Rest API.
- Good understanding of front-end technologies, such as HTML5, and CSS3
- Good understanding of code versioning tools, such as Git
▪ Identifies business opportunities by identifying prospects.
▪ Sells products by establishing contact and developing relationships with prospects.
▪ Recommends solutions to issues in constructive ways.
▪ Outbound calling on data collected through lead generation activities / secondary data sources.
▪ Conducts daily follow-ups on older leads and work on new leads.
▪ Maintains quality service by establishing and enforcing organization standards.
▪ Is energetic, well-spoken, eager to close sales deals and generate revenue for the organization.
We are looking for a technology leader that can lead a group that builds and runs a product. We are a product company so we develop, manage and grow our own products. Our key objectives include acquiring clients and growing our user base. Product development is an ongoing process.
We need a leader that has experience in developing technologies but also understands how to leverage 3rd party platforms. Integration into FB and Google systems are critical to our success.
We operate in the Marketing technology world. Understanding marketing data is a key requirement. The great opportunity of this position is that the Team Lead gets to design and participate in the entire product cycle. We manage our own product, marketing and sales process within the company.
We Work globally and you ll have a chance to interact with teams in New York, Europe, Latin America and India. We are looking for a software engineer who has played the role of a team lead and who has worked on all phases of SDLC from prototyping to feature delivery and scaling features. A capable result oriented visionary Technology lead with a unique experience in leading high performance development teams, increasing efficiency and productivity while reducing costs. Somebody with the ability to build and run technology platforms, evaluate opportunities and risks and deliver innovative new solutions to meet customer needs. Hands on experience on all facets of software application development, covering deployment, support, quality assurance, customer support, project management and process improvement. Strong planning abilities and setting product and technology strategies in B2C and B2B environments.
Duties/Responsibilities:
- Responsible for leading the team for successful delivery of projects assigned.
- Risk assessments for architectural solutions and proposed systems and technologies; should know how to do module planning and effort estimation.
- Develop overall technical strategy for projects from technical requirements.
- Help in Project planning, progress tracking & delivery verification.
- Keep track of time spent on individual project tasks, provide guidance & advice best technology approach to the team.
- Follow guidelines for quality delivery, project documentation, code management, etc.
- Implement new technologies which are good for business & guide the team members
- Must possess personality to switch tasks and projects frequently as each will have different priorities.
- Meet stipulated deadlines and timelines.
- Work in Agile based project methodology.
- Open for frequent short-term travel to US.
Required Skills/Abilities:
- Having a strong IT experience, minimum 10 years, along with team handling role.
- Expertise in PHP, MVC Frameworks and good technology exposure of at least one framework such as Laravel, Zend etc.
- Expertise in at least one JavaScript framework such as jQuery, AngularJS, React JS etc.
- Excellent exposure with bespoke and open-source technologies (e.g., Drupal/Magento, etc..).
- Sound knowledge of database designing and application architecture planning for Core & MVC projects
- Excellent knowledge of SQL scripting and MySQL database administration
- Sound understanding of OOP and MVC development.
- Must have strong experience in handling International Clients and overseas accounts.
- US Travelled would be preferred.
- Good debugging skills with browser extensions & server tools
- Experience with GIT/Jira/Agile.
- Experience in enterprise level architecture design including server management.
- Experience in handling AWS/cloud/ Dedicated enterprise servers.
- Experience in handling high volume, high traffic sites.
- Strong in technical knowledge and documentation.
- Should be able to think out of the box, solution driven and passionate about the work.
- Ability to communicate ideas and concepts.
- MSSQL, SSIS, Performance Tuning, Data modeling.
- Experience in No SQL tools is must
- Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
- Maria DB/MYSQL, Mongo DB, Github, Jira
- Understand Requirements from client and on-site team.
- Participate in preparing design and data modelling.
- Comfortable with SQL Stored procedures and queries development.
- Comfortable with SQL Stored procedures and queries development.
- Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
- Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
- Ability to analyze independently problems and resolve them on time.












