Sales manager (SaaS

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

The MIS Executive will manage and analyze data, generate reports, and provide insights to support effective decision-making within the organization. The role involves maintaining and enhancing the Management Information System (MIS) to ensure accurate and timely information flow.

Key Responsibilities:

·        Collect, compile, and analyze data from various sources to create comprehensive reports.

·        Develop and maintain efficient databases, ensuring data accuracy and integrity.

·        Generate and distribute daily, weekly, and monthly reports to relevant stakeholders.

·        Implement data validation and cleansing processes to ensure data accuracy.

·        Collaborate with different departments to understand their data requirements and provide support in extracting relevant information.

·        Identify and implement process improvements to enhance data quality and reporting efficiency.

·        Conduct regular audits of data to identify and rectify discrepancies.

·        Stay updated on industry trends and best data management and reporting practices.

Qualifications/Requirements:

Education:

·        Bachelor's degree in any field.

Experience:

·        Minimum 2 years of proven experience in an MIS Executive role.

·        Jewelry industry experience is good to have

Required Skills:

· Skilled in product cost analysis, order management, invoicing knowledge, and comprehensive inventory oversight.

·        Strong analytical and problem-solving skills.

·        Proficient in data analysis tools and Microsoft Excel.

·        Database management systems and SQL.

·        Excellent communication and interpersonal skills.

·        Ability to work independently and collaboratively in a team.

·        Detail-oriented with a high level of accuracy.

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMPS0120PS

1. Primary Skills:

• Hands-on experience in Python, Shell Scripting, and SQL Queries
• Good experience in Linux.
• Hands-on experience in Python, Shell Scripting, and SQL Queries.

4.Years of Experience: 2-4 Years

1. Location:(Hybrid)-Bangalore
2. Position-2
3. Budget- 2-3 years (upto 8.5 LPA) and 3-4 (upto 11 LPA)
4. NP- Immediate-15 Days

Position :: Sr. Product Manager/Jr Product Manager
Location:: Hyderabad & Bangalore

Skills ::

• Strong product management or consulting experience in technology focused business

• Domain knowledge in Freight Management or Supply Chain or eCommerce

• Proven track record of managing all aspects of a successful product throughout its lifecycle.
• Hands on experience delivering large scale, enterprise, digital transformations
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
• Solid technical background with understanding and/or hands-on experience in software development and web technologies.
• Define a thoughtful, detailed, and executable rollout strategy for new features, releases, and products.
• Write business cases, perform ROIs, and prioritize and write user stories; partner with product development team to break things down and plan them into releases
• Translate high, level business requirements into detailed technical specs, and aggressively unblock the engineer teams to execute fast.
• Perform competitive benchmark analysis, analyze customer needs, look at surveys and quantitative data to come up with the right judgement of product and feature investments.
• Excellent written and verbal communication skills
• Bachelor's degree in Science, Engineering or Technology.
• MBA with Freight Management or Supply Chain work or ecommerce experience a big plus.

Responsibilities:

.Approaching potential leads and closing them within a stipulated time frame.

.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep abreast with stock reports, inventory, product orders, re-order etc.

.Training personnel and helping team members in developing their skills.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.

Our client is the fastest growing company in the space of student mobility in Asia Pacific as per Financial times.

More about them

- Long-term accommodation booking platform for students (think booking.com for student housing).

- Helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, nonstandardized and cumbersome paperwork, and broken payment process.

- Leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

- Growing rapidly and targeting $400M in annual gross bookings value by 2022.

We, r, are looking to hire an Director Engineering , who is a thought leader,and a world-class engineer who has a proven record of creating an impact on businessand engineering with little or no help. You will own the technology vision andsignificantly contribute to building the engineering team and culture. You will partner wiith Engineering Manager 2
the product and business teams to understand product features and specifications,translate them into high-level and low-level designs, thereby facilitating the team in building mission critical applications.


Key responsibilities
To build next-generation web applications which are efficient, reliable, and scalable.
Explore and design dynamic and compelling consumer experiences.
Analyze system function and performance requirements to support design
concepts.
Actively participate in design and code reviews to build robust applications and prototypes.
Work closely with Product managers, designers, and the business team to
implement solutions.
Maintain a very high standard of product quality, ensuring a delightful experience for users.
Endorsing upcoming standards, launching, iterating, and making a difference.

Technical Skills
1)4+ years of experience, working with web technologies and building scalable and distributed software products and infrastructure
2)Exposure to complete product development cycles - From inception to production toscaling up, supporting new requirements, re-architectures
3)Sound knowledge of design patterns and practices for writing clean, linted,maintainable, and reusable code
4)Experience in working with both backend and frontend web technologies
5)Experience with infrastructure deployment and maintenance
6)Keeps an eye on new platform and ecosystem changes

Regards
Team Merito