Relationship Manager

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Key Responsibilities

• Craft and execute digital marketing strategies across channels like SEO, PPC, email, social media, content, and paid media—aligned with business objectives.
• Analyze and optimize campaign performance using metrics-driven insights via tools like Google Analytics, adjusting approaches to maximize ROI.
• Manage cross-channel campaigns, coordinating with content creators, designers, and external agencies to ensure cohesive execution.
• Allocate and oversee budgets for campaigns, ensuring efficient use of resources to meet performance targets.
• Conduct market research, audience profiling, and competitive analysis to uncover new opportunities and inform messaging.
• Stay current with emerging trends, tools, and technologies in digital marketing to maintain innovative initiatives.
• Report insights to stakeholders—highlighting performance, identifying bottlenecks, and proposing strategic optimizations.

Qualifications & Skills

• Education: Bachelor’s degree in Marketing, Business, Communications, or related field. Certifications in digital marketing, SEO, SEM, or analytics are a plus.
• Experience: Typically 3–5+ years in digital marketing, with proven success in strategic campaign management.
• Technical Know‑How: Familiarity with SEO, SEM, PPC, CMS, email marketing tools; basic comfort with HTML/CSS or design tools is beneficial.
• Communication & Collaboration: Exceptional verbal and written skills, adept at aligning with external partners.
• Project Management: Strong organization, multitasking, and ability to deliver on deadlines across multiple campaigns.

Interested candidate can apply linkedin.com/in/preeti-bisht-1633b1263/

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

• 1-5 years of experience in Java Development.
• Very good with DSA - Java programming.
• Hands-on experience in working with REST APIs & Web Services.
• Good Database design skills - SQL
• Write well-designed, testable, efficient code.
• Contribute to all phases of the development lifecycle.

Work Location : Bangalore

Work mode : Work from office.

• 4-8 years Asp.net web API
  ● Asp.net core 1
  ● Asp.net core 2
  ● Asp.net core 2.1

Preferred Skills:-

• Micro-services with C#
• Having worked in a product development environment is desirable.
• Having worked in the finance and banking domain is desirable.
• Docker and Linux knowledge is desirable

Position : Senior Java Backend Developer

Job Location: Navi Mumbai / Bangalore / Hyderabad / Pune

Job Description :

At least 5 years of professional experience in developing backend applications using Java

- Proficiency in using Spring Boot, Hibernate, RESTful APIs, microservices and other modern web technologies

- Experience in working with relational and non-relational databases such as MySQL, MongoDB, Redis etc.

- Exp on Azure Cloud.

- Experience in using DevOps tools such as Docker, Jenkins etc.

- Knowledge of GraphQL and how to use it with Java

- Knowledge of best practices and principles of software engineering such as SOLID, design patterns, code quality, testing etc.

- Familiarity with agile methodologies such as Scrum or Kanban

- Ability to work independently and as part of a team

- Excellent communication and problem-solving skills